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io.cloudshiftdev.awscdk.services.stepfunctions.tasks.OutputDataConfig.kt Maven / Gradle / Ivy
@file:Suppress("RedundantVisibilityModifier","RedundantUnitReturnType","RemoveRedundantQualifierName","unused","UnusedImport","ClassName","REDUNDANT_PROJECTION","DEPRECATION")
package io.cloudshiftdev.awscdk.services.stepfunctions.tasks
import io.cloudshiftdev.awscdk.common.CdkDslMarker
import io.cloudshiftdev.awscdk.common.CdkObject
import io.cloudshiftdev.awscdk.common.CdkObjectWrappers
import io.cloudshiftdev.awscdk.services.kms.IKey
import kotlin.Unit
/**
* Configures the S3 bucket where SageMaker will save the result of model training.
*
* Example:
*
* ```
* SageMakerCreateTrainingJob.Builder.create(this, "TrainSagemaker")
* .trainingJobName(JsonPath.stringAt("$.JobName"))
* .algorithmSpecification(AlgorithmSpecification.builder()
* .algorithmName("BlazingText")
* .trainingInputMode(InputMode.FILE)
* .build())
* .inputDataConfig(List.of(Channel.builder()
* .channelName("train")
* .dataSource(DataSource.builder()
* .s3DataSource(S3DataSource.builder()
* .s3DataType(S3DataType.S3_PREFIX)
* .s3Location(S3Location.fromJsonExpression("$.S3Bucket"))
* .build())
* .build())
* .build()))
* .outputDataConfig(OutputDataConfig.builder()
* .s3OutputLocation(S3Location.fromBucket(Bucket.fromBucketName(this, "Bucket", "mybucket"),
* "myoutputpath"))
* .build())
* .resourceConfig(ResourceConfig.builder()
* .instanceCount(1)
* .instanceType(new InstanceType(JsonPath.stringAt("$.InstanceType")))
* .volumeSize(Size.gibibytes(50))
* .build()) // optional: default is 1 instance of EC2 `M4.XLarge` with `10GB` volume
* .stoppingCondition(StoppingCondition.builder()
* .maxRuntime(Duration.hours(2))
* .build())
* .build();
* ```
*/
public interface OutputDataConfig {
/**
* Optional KMS encryption key that Amazon SageMaker uses to encrypt the model artifacts at rest
* using Amazon S3 server-side encryption.
*
* Default: - Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account
*/
public fun encryptionKey(): IKey? = unwrap(this).getEncryptionKey()?.let(IKey::wrap)
/**
* Identifies the S3 path where you want Amazon SageMaker to store the model artifacts.
*/
public fun s3OutputLocation(): S3Location
/**
* A builder for [OutputDataConfig]
*/
@CdkDslMarker
public interface Builder {
/**
* @param encryptionKey Optional KMS encryption key that Amazon SageMaker uses to encrypt the
* model artifacts at rest using Amazon S3 server-side encryption.
*/
public fun encryptionKey(encryptionKey: IKey)
/**
* @param s3OutputLocation Identifies the S3 path where you want Amazon SageMaker to store the
* model artifacts.
*/
public fun s3OutputLocation(s3OutputLocation: S3Location)
}
private class BuilderImpl : Builder {
private val cdkBuilder:
software.amazon.awscdk.services.stepfunctions.tasks.OutputDataConfig.Builder =
software.amazon.awscdk.services.stepfunctions.tasks.OutputDataConfig.builder()
/**
* @param encryptionKey Optional KMS encryption key that Amazon SageMaker uses to encrypt the
* model artifacts at rest using Amazon S3 server-side encryption.
*/
override fun encryptionKey(encryptionKey: IKey) {
cdkBuilder.encryptionKey(encryptionKey.let(IKey.Companion::unwrap))
}
/**
* @param s3OutputLocation Identifies the S3 path where you want Amazon SageMaker to store the
* model artifacts.
*/
override fun s3OutputLocation(s3OutputLocation: S3Location) {
cdkBuilder.s3OutputLocation(s3OutputLocation.let(S3Location.Companion::unwrap))
}
public fun build(): software.amazon.awscdk.services.stepfunctions.tasks.OutputDataConfig =
cdkBuilder.build()
}
private class Wrapper(
cdkObject: software.amazon.awscdk.services.stepfunctions.tasks.OutputDataConfig,
) : CdkObject(cdkObject),
OutputDataConfig {
/**
* Optional KMS encryption key that Amazon SageMaker uses to encrypt the model artifacts at rest
* using Amazon S3 server-side encryption.
*
* Default: - Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account
*/
override fun encryptionKey(): IKey? = unwrap(this).getEncryptionKey()?.let(IKey::wrap)
/**
* Identifies the S3 path where you want Amazon SageMaker to store the model artifacts.
*/
override fun s3OutputLocation(): S3Location =
unwrap(this).getS3OutputLocation().let(S3Location::wrap)
}
public companion object {
public operator fun invoke(block: Builder.() -> Unit = {}): OutputDataConfig {
val builderImpl = BuilderImpl()
return Wrapper(builderImpl.apply(block).build())
}
internal
fun wrap(cdkObject: software.amazon.awscdk.services.stepfunctions.tasks.OutputDataConfig):
OutputDataConfig = CdkObjectWrappers.wrap(cdkObject) as? OutputDataConfig ?:
Wrapper(cdkObject)
internal fun unwrap(wrapped: OutputDataConfig):
software.amazon.awscdk.services.stepfunctions.tasks.OutputDataConfig = (wrapped as
CdkObject).cdkObject as software.amazon.awscdk.services.stepfunctions.tasks.OutputDataConfig
}
}
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